ANALISIS RASIO KEUANGAN DAN VARIABEL EKONOMI MAKRO
DALAM MEMPREDIKSI
FINANCIAL DISTRESS
PERUSAHAAN
PERTAMBANGAN DI BURSA EFEK INDONESIA
PERIODE 2011
-
2015
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Institusion
Sekolah Tinggi Ilmu Ekonomi Perbanas Surabaya
Author
SULAKSANA, TAUFIK
Subject
657 - ACCOUNTING
Datestamp
2017-09-07 02:47:50
Abstract :
The objectives of this research are to know and to explain the effects of fundamental variables and macro economics variables on financial distress probabili ty . The variables used are Working Capital To Total Asset (WCTA), Sales To Total Assets (STA), Debt To Total Asset Ratio ( DTA ) , Net Income To Sales (NISA), Interest Rate Sensitivity, Exchange Rate Sensitivity and Oil P rice Sensitivity. The sample are 38 go public mining companies listed in Bursa Efek Indonesia (BEI) and did not have delisting during research period. The sampling technique used i s purposive sampling technique. The analysis model used is logistic regression. The research shows that Sales To T otal Asset (STA) and Net Income To Sales (NISA) have a negative effect and significant to predict financial distress condition and than Debt to Total Asset has a positive effect and significant to predict financial distress condition. The implication an i nvestor must to choice the companies have a good sales to total asset, net income to sales, and debt to total asset. Keywords : Financial Distress, Financial Ratios, Sensitivity Analysis, Logistic Analysis Regression
The objectives of this research are to know and to explain the effects of fundamental variables and macro economics variables on financial distress probabili ty . The variables used are Working Capital To Total Asset (WCTA), Sales To Total Assets (STA), Debt To Total Asset Ratio ( DTA ) , Net Income To Sales (NISA), Interest Rate Sensitivity, Exchange Rate Sensitivity and Oil P rice Sensitivity. The sample are 38 go public mining companies listed in Bursa Efek Indonesia (BEI) and did not have delisting during research period. The sampling technique used i s purposive sampling technique. The analysis model used is logistic regression. The research shows that Sales To T otal Asset (STA) and Net Income To Sales (NISA) have a negative effect and significant to predict financial distress condition and than Debt to Total Asset has a positive effect and significant to predict financial distress condition. The implication an i nvestor must to choice the companies have a good sales to total asset, net income to sales, and debt to total asset. Keywords : Financial Distress, Financial Ratios, Sensitivity Analysis, Logistic Analysis Regression
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